Integrated Human-Proximity and Recognition for Detecting Smart Object Ownership in Organizational Settings

In the evolving digital landscape, the emphasis on protecting essential assets within organizations has intensified. This research unveils a state-of-the-art surveillance system, meticulously crafted to bolster the security of prized possessions, notably laptops. The system epitomizes the harmonious fusion of Human Proximity detection with cutting-edge recognition algorithms. At its core, it harnesses the power of the Albumentations library for image augmentation, Google’s MediaPipe for instantaneous facial detection, and the unparalleled object detection prowess of YOLOv8. The integration of the DEEPSORT algorithm ensures flawless object tracking across video sequences. A distinctive feature of this system is its forward thinking approach to human identification, moving beyond the conventional reliance on facial features to embrace holistic body feature recognition, achieved through the careful development and training of a specialized model. Furthermore, the system introduces a novel binding mechanism, enabling users to securely link their cherished assets, like laptops, to their distinct identity, while adeptly addressing multifaceted challenges, from privacy concerns to the imperative of real-time processing and steadfast system reliability.